kernapply                 package:ts                 R Documentation

_A_p_p_l_y _S_m_o_o_t_h_i_n_g _K_e_r_n_e_l

_D_e_s_c_r_i_p_t_i_o_n:

     'kernapply' computes the convolution between an input sequence 
     and a specific kernel.

_U_s_a_g_e:

     kernapply(x, k, circular = FALSE, ...) 
     kernapply(k1, k2)

_A_r_g_u_m_e_n_t_s:

k, k1, k2: smoothing '"tskernel"' objects.

       x: an input vector, matrix, or time series to be smoothed.

circular: a logical indicating whether the input sequence to be
          smoothed is treated as circular, i.e., periodic.

     ...: arguments passed to or from other methods.

_V_a_l_u_e:

     A smoothed version of the input sequence.

_A_u_t_h_o_r(_s):

     A. Trapletti

_S_e_e _A_l_s_o:

     'kernel', 'convolve', 'filter', 'spectrum'

_E_x_a_m_p_l_e_s:

     ## see 'kernel' for examples

